Vehicular Positioning and Tracking in Multipath Non-Line-of-Sight Channels

Ye Zhicheng, Julia Vinogradova, Gabor Fodor, Peter Hammarberg

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

3 Citations (Scopus)

Abstract

We consider the downlink transmission in a single cell multiple-input multiple-output system, in which the user equipment correspond to a vehicle moving along a given trajectory. This system utilizes millimeter wave channels characterized by multiple non-line-of-sight (NLoS) components. As it has been pointed out in several related works, in such systems radio access network (RAN)-based positioning can effectively improve the positioning accuracy achieved by Global Navigation Satellite Systems. However, the RAN-based positioning accuracy is highly dependent on the quality of the channel estimates, especially if multipath propagation is exploited. Recognizing that the communication channels between the serving base station and the vehicle as well as the geographical position of the vehicle can be advantageously modeled as inter-related autoregressive processes, we propose a two-stage Kalman filter algorithm employing two intertwined filters for channel tracking, position tracking and abrupt channel change detection. The first Kalman filter tracks angles-of-departure and angles-of-arrival associated with the communication channels, which are used to make a coarse position estimation. The second Kalman filter tracks the position of the vehicle utilizing the kinematic parameters of the vehicle. Simulation results clearly show the advantages of using the proposed scheme, which exploits the memoryful property of both the communication channels and the geographical positions, as compared to employing previously proposed single-stage or not properly combined filters in NLoS environments.

Original languageEnglish
Title of host publication2022 IEEE 95th Vehicular Technology Conference - Spring, VTC 2022-Spring - Proceedings
PublisherIEEE
Number of pages5
ISBN (Electronic)978-1-6654-8243-1
DOIs
Publication statusPublished - 2022
MoE publication typeA4 Conference publication
EventIEEE Vehicular Technology Conference - Helsinki, Finland
Duration: 19 Jun 202222 Jun 2022
Conference number: 95

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

ConferenceIEEE Vehicular Technology Conference
Abbreviated titleVTC
Country/TerritoryFinland
CityHelsinki
Period19/06/202222/06/2022

Keywords

  • Kalman filter
  • MIMO
  • MmWave channels
  • multipath
  • NLoS
  • positioning

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